From video to language-a detour via logic vs. jumping to conclusions

H. Nagel
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引用次数: 8

Abstract

Temporal developments within a scene can be recorded by a video camera in the form of spatio-temporal grayvalue variations. The digitization and subsequent algorithmic evaluation of the resulting video sequence transforms, as a first step, the original signal into a geometric description which comprises the shape, position, and trajectory of bodies in the depicted 3D scene. In order to facilitate communication of this information to human users, it appears advantageous to transform such a geometric description as a second step into a fuzzy metric-temporal logic representation. This latter can be processed in turn by logic operations in order to extract the information of interest to a particular user at the time of his interaction with the system. This contribution discusses problems which show up in an attempt to specify and use a fuzzy metric-temporal logic representation of traffic situations at innercity road intersections.
从视频到语言——通过逻辑绕路还是直接下结论
场景中的时间发展可以通过摄像机以时空灰度值变化的形式记录下来。作为第一步,所得到的视频序列的数字化和随后的算法评估将原始信号转换为包含所描绘的3D场景中物体的形状、位置和轨迹的几何描述。为了便于与人类用户交流这些信息,将这种几何描述作为第二步转换为模糊度量-时间逻辑表示似乎是有利的。后者可以通过逻辑操作依次处理,以便在特定用户与系统交互时提取他感兴趣的信息。这篇文章讨论了在尝试指定和使用模糊度量-时间逻辑表示城市内十字路口交通状况时出现的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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